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Solution Architect, Energy(m/w/x)
Embedding NVIDIA AI software into power grid architectures for performance gains. 5+ years industrial power grid and advanced ML experience required. Hybrid work, 4-week workation option.
Requirements
- MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field
- Minimum 5 years experience in AI, ML, DL, NLP, Generative AI
- Minimum 5 years industrial experience in power grid software and advanced ML
- Familiarity with accelerated computing platforms and GPU-based distributed systems
- Experience in algorithm programming using Python and C/C++
- Development experience using major AI frameworks (PyTorch, Tensorflow, similar tools)
- Familiarity with containers, numerical libraries, modular software design, version control, GitHub
- Experience designing, prototyping, building complex AI/ML-based solutions
- Ability to reason across data pipelines, models, compute, networking, orchestration
- Solid written and oral communication skills and familiarity with collaborative environments
- Development experience with NVIDIA software libraries and GPUs
- Experience with Kubernetes, distributed training, large-scale inference
- Experience supporting or utilizing PCIe accelerators (GPUs, FPGAs, DSPs)
- Familiarity with embedded domain-specific languages (CUDA, OneAPI, OpenCL, HDL)
Tasks
- Act as a trusted technical advisor to developers and customers
- Embed NVIDIA software into customer architectures and workflows
- Improve application performance
- Increase developer productivity
- Establish technical foundations for next-generation AI systems
- Support business development and sales teams
- Partner with industry business leads, account managers, and developer relations managers
- Drive developer ecosystem success
- Work directly with developers and customers in a customer-facing setting
- Support developers in adopting NVIDIA libraries and software frameworks
- Analyze application architectures for acceleration opportunities
- Provide feedback to engineering, product, and research teams
- Collaborate with engineering, product, and research teams
- Deliver trainings on NVIDIA solutions and platforms
- Conduct hackathons on NVIDIA solutions and platforms
- Perform technical demonstrations on NVIDIA solutions and platforms
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- ML
- DL
- NLP
- Generative AI
- Python
- C/C++
- PyTorch
- Tensorflow
- containers
- GitHub
- NVIDIA software libraries
- GPUs
- Kubernetes
- CUDA
- OneAPI
- OpenCL
- HDL
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Solution Architect, Energy(m/w/x)
Embedding NVIDIA AI software into power grid architectures for performance gains. 5+ years industrial power grid and advanced ML experience required. Hybrid work, 4-week workation option.
Requirements
- MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field
- Minimum 5 years experience in AI, ML, DL, NLP, Generative AI
- Minimum 5 years industrial experience in power grid software and advanced ML
- Familiarity with accelerated computing platforms and GPU-based distributed systems
- Experience in algorithm programming using Python and C/C++
- Development experience using major AI frameworks (PyTorch, Tensorflow, similar tools)
- Familiarity with containers, numerical libraries, modular software design, version control, GitHub
- Experience designing, prototyping, building complex AI/ML-based solutions
- Ability to reason across data pipelines, models, compute, networking, orchestration
- Solid written and oral communication skills and familiarity with collaborative environments
- Development experience with NVIDIA software libraries and GPUs
- Experience with Kubernetes, distributed training, large-scale inference
- Experience supporting or utilizing PCIe accelerators (GPUs, FPGAs, DSPs)
- Familiarity with embedded domain-specific languages (CUDA, OneAPI, OpenCL, HDL)
Tasks
- Act as a trusted technical advisor to developers and customers
- Embed NVIDIA software into customer architectures and workflows
- Improve application performance
- Increase developer productivity
- Establish technical foundations for next-generation AI systems
- Support business development and sales teams
- Partner with industry business leads, account managers, and developer relations managers
- Drive developer ecosystem success
- Work directly with developers and customers in a customer-facing setting
- Support developers in adopting NVIDIA libraries and software frameworks
- Analyze application architectures for acceleration opportunities
- Provide feedback to engineering, product, and research teams
- Collaborate with engineering, product, and research teams
- Deliver trainings on NVIDIA solutions and platforms
- Conduct hackathons on NVIDIA solutions and platforms
- Perform technical demonstrations on NVIDIA solutions and platforms
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI
- ML
- DL
- NLP
- Generative AI
- Python
- C/C++
- PyTorch
- Tensorflow
- containers
- GitHub
- NVIDIA software libraries
- GPUs
- Kubernetes
- CUDA
- OneAPI
- OpenCL
- HDL
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
NVIDIA Germany
Industry
IT
Description
The company develops deep learning platforms that significantly impact the industry and are widely used across various sectors.
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